Sustainable inventory system with controllable non-instantaneous deterioration and environmental emission rates

Mishra, Umakant; Wu, Jei‐Zheng; Tsao, Yu‐Chung; Tseng, Ming‐Lang

doi:10.1016/j.jclepro.2019.118807

Cited by 83 publications

(41 citation statements)

References 32 publications

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“…They derived an outer estimate design with relaxation equality and a penalty algorithm. Recently, Mishra et al [12] investigated a sustainable inventory problem with controlled deterioration and environmental emission rates, but they did not include various backorder conditions.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In a conventional model, a retailer places an order, followed by the purchase cost payment. Sometimes, the supplier may require the buyer to reimburse them before the delivery date (known as advance payment), reducing the probability of order cancellation and enabling smooth goods management [11,12]. However, Lashgari et al [13] indicated that the seller might offer a delayed payment to their buyers to stimulate sales.…”

Section: Introductionmentioning

confidence: 99%

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Optimizing a Sustainable Supply Chain Inventory Model for Controllable Deterioration and Emission Rates in a Greenhouse Farm

et al. 2021

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This study investigated how greenhouse managers should invest in preservation and green technologies and introduce trade credit to increase their profits. We propose a supply chain inventory model with controllable deterioration and emission rates under payment schemes for shortage and surplus, where demand depends on price and trade credit. Carbon emissions and deterioration are factors affecting global warming, and many greenhouse managers have focused on reducing carbon emissions. Carbon caps and tax-based incentives have been used in many greenhouses to achieve such reduction. Because of the importance of reducing carbon emissions for developing a green supply chain, various studies have investigated how firms deal with carbon emission constraints. In this continuation, we have used green technology to curb the excessive emissions from the environment or make it clean from CO2. In a seller–buyer relationship, the seller can offer a trade credit period to the buyer to manage stock and stimulate demand. Deterioration may become a challenge for most firms as they are under time constraints control, and preservation technology could help. This study proposes three novel inventory strategies for a sustainable supply chain (full backorder, partial backorder, and no backorder), linking all these important issues. The solution optimizes total annual profit for inventory shortage or surplus. We conducted a numerical study with three examples to evaluate the model’s authenticity and effectiveness and demonstrate the solution technique. The deterioration and emission rates can be included in a trade credit policy to increase greenhouse profits. The results suggest that greenhouse managers could apply the proposed model to manage real-world situations.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimizing a Sustainable Supply Chain Inventory Model for Controllable Deterioration and Emission Rates in a Greenhouse Farm

et al. 2021

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“…In their model, shortages are allowed or partially backlogged. Mishra et al (2020) [ 13 ] developed a sustainable supply chain inventory policy with controllable non-instantaneous deterioration and environmental policy for greenhouse items.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing multi-supplier multi-item joint replenishment problem for non-instantaneous deteriorating items with quantity discounts

Yue

et al. 2021

PLoS ONE

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This paper deals with a new joint replenishment problem, in which a number of non-instantaneous deteriorating items are replenished from several suppliers under different quantity discounts schemes. Involving both joint replenishment decisions and supplier selection decisions makes the problem to be NP-hard. In particular, the consideration of non-instantaneous deterioration makes it more challenging to handle. We first construct a mathematical model integrated with a supplier selection system and a joint replenishment program for non-instantaneous deteriorating items to formulate the problem. Then we develop a novel swarm intelligence optimization algorithm, the Improved Moth-flame Optimization (IMFO) algorithm, to solve the proposed model. The results of several numerical experiments analyses reveal that the IMFO algorithm is an effective algorithm for solving the proposed model in terms of solution quality and searching stableness. Finally, we conduct extensive experiments to further investigate the performance of the proposed model.

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“…For example, deterioration could begin as inventory is transferred from the factory to the warehouse [2,5]. These types of inventory are classified as Non-Instantaneously Deteriorating Inventory models [11,14,25,34]. Although this is an improved and more realistic assumption, majority of papers do not elaborate on how the delay is determined [13,15,16,26,28].…”

Section: Introductionmentioning

confidence: 99%

“…Finally, the implementation of preservation technologies could also give positive externalities within the Model that benefits the operators. These benefits could come with the form of reducing related costs such as emission penalties or reduced inventory holding costs as found commonly in inventory models with green initiatives to conserve the environment [15,27,29,34]. These positive benefits could also come from tax leeway given by certain countries for operators that adopt preservation technologies.…”

Section: Introductionmentioning

confidence: 99%

Improved Preservation Technology for Non-Instantaneous Deteriorating Inventory Using Boundary Condition Estimation

Hishamuddin¹,

Supadi²,

Omar³

2020

ACM

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Various forms of preservation technology nowadays allow businesses to handle valuable perishable items with greater flexibility. Even with a wide variety of preservation techniques, the mathematical modelling of its implementation in EOQ literature remains rigid. The paper aims to integrate an improved preservation technology in a non-instantaneous deteriorating inventory model for businesses maximizing their average total cycle profit. The improved preservation technology furthers the delay to the time within the cycle where deterioration begins and enhances the durability of inventory that allows operators to employ a less prudent holding facility. Another improvement in this area is the accurate accumulation of preservation cost depending on the inventory level at hand. The conventional EOQ method of forming the objective function before choosing the optimal values for our two decision variables (Cycle time and level of preservation) is undertaken. The cycle time is split in two, differing in their inventory process (deterioration beginning in the second period). The time when deterioration begins is derived using the model's boundary conditions, a first attempt within the area. The optimal solution set is solved for a numerical example using an algorithm to demonstrate the model and prove the global nature of the solution. An investigation into the gains from the improved preservation technology is conducted by dissecting the effects within each individual component within the objective function. 3 separate channels by which this improved preservation technology modelling benefits the business model is found namely shifting to the higher profitable period, effects towards preservation affected costs and the returns to scale from successively increasing preservation levels. Sensitivity analysis is conducted to demonstrate and confirm the findings. The paper discovers great benefits from such an improved modelling that warrants further attention within the scope of preserved inventory models, especially on how levels of preservation could influence the traditional decision variable optimized such as cycle time or ordering frequency. Findings of the paper would have significant benefits to different inventory models with its own delay before deterioration and holding facility requirement.

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Sustainable inventory system with controllable non-instantaneous deterioration and environmental emission rates

Cited by 83 publications

References 32 publications

Optimizing a Sustainable Supply Chain Inventory Model for Controllable Deterioration and Emission Rates in a Greenhouse Farm

Optimizing a Sustainable Supply Chain Inventory Model for Controllable Deterioration and Emission Rates in a Greenhouse Farm

Optimizing multi-supplier multi-item joint replenishment problem for non-instantaneous deteriorating items with quantity discounts

Improved Preservation Technology for Non-Instantaneous Deteriorating Inventory Using Boundary Condition Estimation

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